2016
Fast Convergence of Online Pairwise Learning Algorithms
AISTATS 2016poster
Pairwise learning usually refers to a learning task which involves a loss function depending on pairs of examples, among which most notable ones are bipartite ranking, metric learning and AUC maximization. In this paper, we focus on online learning algorithms for pairwise learning problems without…